library(readr)
library(tidyverse)
Registered S3 methods overwritten by 'dbplyr':
  method         from
  print.tbl_lazy     
  print.tbl_sql      
── Attaching packages ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.3.1 ──
✔ ggplot2 3.3.6     ✔ dplyr   1.0.9
✔ tibble  3.1.7     ✔ stringr 1.4.0
✔ tidyr   1.2.0     ✔ forcats 0.5.1
✔ purrr   0.3.4     
── Conflicts ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
library(forcats)
library(plotly)

Attache Paket: ‘plotly’

Das folgende Objekt ist maskiert ‘package:ggplot2’:

    last_plot

Das folgende Objekt ist maskiert ‘package:stats’:

    filter

Das folgende Objekt ist maskiert ‘package:graphics’:

    layout
library(knitr, warn.conflicts = FALSE, quietly=TRUE)
library(RColorBrewer)
library(stringr)
library(dygraphs)
library(xts)
Lade nötiges Paket: zoo

Attache Paket: ‘zoo’

Die folgenden Objekte sind maskiert von ‘package:base’:

    as.Date, as.Date.numeric


Attache Paket: ‘xts’

Die folgenden Objekte sind maskiert von ‘package:dplyr’:

    first, last
myPalette <- brewer.pal(8, "YlGn")
vgsales <- read_csv("vgsales.csv")
Rows: 16598 Columns: 11
── Column specification ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Delimiter: ","
chr (5): Name, Platform, Year, Genre, Publisher
dbl (6): Rank, NA_Sales, EU_Sales, JP_Sales, Other_Sales, Global_Sales

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Anzahl der Videospiele aufgelistet nach Platform

grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(Anzahl =n()) 

ordered <- grouped[order(grouped$Anzahl), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "Anzahl"
)
ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Anzahl, .desc="true"),
           y=~Anzahl,
           name="Game Amount by Platform") %>% 
  layout(title="Game Amount by Platform",
         xaxis = ax,
         yaxis = ay
         
         )

Ältere Plattformen/spiele haben mehr verkäufe bzw Wie hat sich die Anzahl der verkäufe im laufe der jahre entwickelt? (Gefiltert auf Plattformen mit mindestens 60 mio in Sales im entsprechenden Jahr)

`summarise()` has grouped output by 'Year'. You can override using the `.groups` argument.
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Welche Plattform ist die beste und unterscheidet sich diese nach Region?

grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(sum(Global_Sales))  %>%
rename(
    Global_Sales = "sum(Global_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Platform"
)

ay <- list(
  title = "Global Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="Sales Amount by Platform") %>% 
  layout(title="Sales Amount by Platform",
         xaxis = ax,
         yaxis = ay
         )

● Gibt es Unterschiede in den Regionen/hängt das mit der Anzahl der Einwohner der Region zusammen? (Asian>US>EU)

grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(sum(EU_Sales))  %>%
rename(
    Global_Sales = "sum(EU_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Platform"
)

ay <- list(
  title = "EU Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="EU Sales Amount by Platform") %>% 
  layout(title="EU Sales Amount by Platform",
         xaxis = ax,
         yaxis = ay
         )
ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Platform,textinfo='label+percent',
           name="EU Sales Amount by Publisher") %>% 
  layout(title="EU Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(sum(NA_Sales))  %>%
rename(
    Global_Sales = "sum(NA_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Platform"
)

ay <- list(
  title = "NA Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="NA Sales Amount by Platform") %>% 
  layout(title="NA Sales Amount by Platform",
         xaxis = ax,
         yaxis = ay
         )
ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Platform,textinfo='label+percent',
           name="NA Sales Amount by Publisher") %>% 
  layout(title="NA Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(sum(JP_Sales))  %>%
rename(
    Global_Sales = "sum(JP_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Platform"
)

ay <- list(
  title = "JP Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="JP Sales Amount by Platform") %>% 
  layout(title="JP Sales Amount by Platform",
         xaxis = ax,
         yaxis = ay
         )
ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Platform,textinfo='label+percent',
           name="JP Sales Amount by Publisher") %>% 
  layout(title="JP Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )

Bestimmte Entwickler/Publisher häufen sich (Nintendo/EA)

Top Publisher nach Anzahl der Games

grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n()) %>%  
  filter(Anzahl>100) %>% filter(Publisher!="Unknown")

ordered <- grouped[order(grouped$Anzahl), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "Anzahl"
)
ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Anzahl, .desc="true"),
           y=~Anzahl,
           name="Game Amount by Publisher") %>% 
  layout(title="Game Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         
         )

Top Publisher nach Anzahl der Sales

grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n(),sum(Global_Sales)) %>%
  filter(Anzahl>100) %>%
rename(
    Global_Sales = "sum(Global_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "Global Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="Sales Amount by Publisher") %>% 
  layout(title="Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )

● Welche Spiele/Publisher/Genres in welchen Teilen der welt sich häufen (Nintendo in Asien, Shooter in US/EU)

grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n(),sum(EU_Sales)) %>%
  filter(Anzahl>100) %>%
rename(
    Global_Sales = "sum(EU_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "EU Sales (in mio)"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="EU Sales Amount by Publisher") %>% 
  layout(title="EU Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Publisher,
           name="EU Sales Amount by Publisher") %>% 
  layout(title="EU Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n(),sum(NA_Sales)) %>%
  filter(Anzahl>100) %>%
rename(
    Global_Sales = "sum(NA_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "NA Sales (in mio)"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="NA Sales Amount by Publisher") %>% 
  layout(title="NA Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Publisher,textinfo='label+percent',
           name="NA Sales Amount by Publisher") %>% 
  layout(title="NA Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n(),sum(JP_Sales)) %>%
  filter(Anzahl>100) %>%
rename(
    Global_Sales = "sum(JP_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "JP Sales (in mio)"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="JP Sales Amount by Publisher") %>% 
  layout(title="JP Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Publisher,
           name="JP Sales Amount by Publisher") %>% 
  layout(title="JP Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
grouped <- vgsales  %>% 
  group_by(Genre) %>% 
  summarize(Anzahl =n())

grouped$Anzahl<-as_vector(grouped$Anzahl)
ordered <- grouped[order(grouped$Anzahl), decreasing = FALSE]
ordered$Genre <- as_factor(ordered$Genre)


ax <- list(
  title = "Genre"
)

ay <- list(
  title = "Anzahl"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Genre,Anzahl, .desc="true"),
           y=~Anzahl,
           name="Amount by Genre") %>% 
  layout(title="Amount by Genre",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Anzahl,labels=~Genre,
           name="Amount by Genre") %>% 
  layout(title="Amount by Genre",
         xaxis = ax,
         yaxis = ay
         )

grouped <- vgsales  %>% 
  group_by(Genre) %>% 
  summarize(sum(Global_Sales))  %>%
rename(
    Global_Sales = "sum(Global_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]

ax <- list(
  title = "Genre"
)

ay <- list(
  title = "Sales"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Genre,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="Sales by Genre") %>% 
  layout(title="Sales by Genre",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Genre,
           name="Sales by Genre") %>% 
  layout(title="Sales by Genre",
         xaxis = ax,
         yaxis = ay
        )

● Genrenentwicklung über die Jahre


grouped <- vgsales  %>%                                 
  group_by(Year, Genre) %>%
  dplyr::summarize(Anzahl =n()) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()
`summarise()` has grouped output by 'Year'. You can override using the `.groups` argument.
filtered <- grouped %>% select(Year,Genre,Anzahl)
ax <- list(
  title = "Year"
)

ay <- list(
  title = "Anzahl"

)

filtered %>%
plot_ly() %>% 
  add_lines(x=~Year,
           y=~Anzahl, color=~Genre)
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors
filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'none', fill = 'tozeroy',color = ~Genre)%>% 
  layout(title="Amount by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors
filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'none', stackgroup = 'one',color = ~Genre)%>% 
  layout(title="Amount by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors
ay <- list(
  title = "Percent %"

)

filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'none', stackgroup = 'one',groupnorm = 'percent',color = ~Genre)%>% 
  layout(title="Marketshae Genreshift in % from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

● Gibt es Statistische zusammenhänge zwischen einzelnen Faktoren e.g. Genre -> Sales


grouped <- vgsales  %>%                                 
  group_by(Year, Genre) %>%
  dplyr::summarize(gr_sum = sum(Global_Sales)) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()
`summarise()` has grouped output by 'Year'. You can override using the `.groups` argument.
filtered <- grouped %>% select(Year,Genre,gr_sum)

ax <- list(
  title = "Year"
)

ay <- list(
  title = "Global_Sales"

)

filtered %>%
plot_ly() %>% 
  add_lines(x=~Year,
           y=~gr_sum, color=~Genre) %>% 
  layout(title="Sales by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors
filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', fill = 'tozeroy',color = ~Genre) %>% 
  layout(title="Sales by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors
filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', stackgroup = 'one',color = ~Genre)%>% 
  layout(title="Sales by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors
ay <- list(
  title = "Percent %"

)
filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', stackgroup = 'one',groupnorm = 'percent',color = ~Genre,fillcolors ="Paired")%>% 
  layout(title="Marketshare genreshift in % from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning in RColorBrewer::brewer.pal(N, "Set2") :
  n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]
Warning: 'scatter' objects don't have these attributes: 'fillcolors'
Valid attributes include:
'cliponaxis', 'connectgaps', 'customdata', 'customdatasrc', 'dx', 'dy', 'error_x', 'error_y', 'fill', 'fillcolor', 'groupnorm', 'hoverinfo', 'hoverinfosrc', 'hoverlabel', 'hoveron', 'hovertemplate', 'hovertemplatesrc', 'hovertext', 'hovertextsrc', 'ids', 'idssrc', 'legendgroup', 'legendgrouptitle', 'legendrank', 'line', 'marker', 'meta', 'metasrc', 'mode', 'name', 'opacity', 'orientation', 'selected', 'selectedpoints', 'showlegend', 'stackgaps', 'stackgroup', 'stream', 'text', 'textfont', 'textposition', 'textpositionsrc', 'textsrc', 'texttemplate', 'texttemplatesrc', 'transforms', 'type', 'uid', 'uirevision', 'unselected', 'visible', 'x', 'x0', 'xaxis', 'xcalendar', 'xhoverformat', 'xperiod', 'xperiod0', 'xperiodalignment', 'xsrc', 'y', 'y0', 'yaxis', 'ycalendar', 'yhoverformat', 'yperiod', 'yperiod0', 'yperiodalignment', 'ysrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_ [... truncated]

● Welche Jahre sind die besten in der Anzahl der releasten games


grouped <- vgsales  %>%                                 
  group_by(Year) %>%
  dplyr::summarize(Anzahl =n()) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()


filtered <- grouped %>% select(Year,Anzahl)

ax <- list(
  title = "Year"
)

ay <- list(
  title = "Amount"

)

filtered %>%
plot_ly() %>% 
  add_lines(x=~Year,
           y=~Anzahl) %>% 
  layout(title="Game Amount from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )



filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'lines', fill = 'tozeroy') %>% 
  layout(title="Game Amount from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )

filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'none', stackgroup = 'one')%>% 
  layout(title="Game Amount from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
NA

● Welche Jahre sind die besten in Anzahl Sales pro game (neuer = besser?)


grouped <- vgsales  %>%                                 
  group_by(Year) %>%
  dplyr::summarize(gr_sum = sum(Global_Sales)/n()) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()


filtered <- grouped %>% select(Year,gr_sum)

ax <- list(
  title = "Year"
)

ay <- list(
  title = "Sales Per Game (in mio)"

)

filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'lines', fill = 'tozeroy') %>% 
  layout(title="Sales per Game from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
NA
---
title: "VDA Projekt"
output: 
   html_document : 
    code_folding: hide
   html_notebook : 
    code_folding: hide
   
---


```{r setup, include=TRUE, echo=TRUE, message=FALSE}
library(readr)
library(tidyverse)
library(forcats)
library(plotly)
library(knitr, warn.conflicts = FALSE, quietly=TRUE)
library(RColorBrewer)
library(stringr)
library(dygraphs)
library(xts)
myPalette <- brewer.pal(8, "YlGn")
vgsales <- read_csv("vgsales.csv")
```


Anzahl der Videospiele aufgelistet nach Platform
```{r noplot, echo = TRUE, message=FALSE, results='markup', include =FALSE,}
vgsales %>% 
  plot_ly(
    x=~Platform,
    stroke=I("black"),
    name="Amount by Platform") %>%
  layout(
    title="Amount by Platform")
vgsales %>% 
  plot_ly %>% 
  add_boxplot(
    x=~Platform,
    stroke=I("black"),
    name="Amount by Platform") %>% 
  layout(
    title="Amount by Platform")

vgsales %>% 
  plot_ly() %>% 
  add_bars(
    x=~Global_Sales,
    y=~Platform,
    name="Sales by Platform (in mio)") %>% 
  layout(
    title="Sales by Platform (in mio)")

```
```{r plot, echo = TRUE,message=FALSE,results='markup',}
grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(Anzahl =n()) 

ordered <- grouped[order(grouped$Anzahl), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "Anzahl"
)
ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Anzahl, .desc="true"),
           y=~Anzahl,
           name="Game Amount by Platform") %>% 
  layout(title="Game Amount by Platform",
         xaxis = ax,
         yaxis = ay
         
         )
```
Ältere Plattformen/spiele haben mehr verkäufe bzw Wie hat sich die Anzahl der
verkäufe im laufe der jahre entwickelt?
(Gefiltert auf Plattformen mit mindestens 60 mio in Sales im entsprechenden Jahr)
```{r plot(SalesPerPlatformbyYear), include=TRUE, echo = FALSE, message=FALSE, results='markup', }

grouped <- vgsales  %>%                                 
  group_by(Year, Platform) %>%
  dplyr::summarize(gr_sum = sum(Global_Sales)) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017')  %>% filter(gr_sum>60)%>%
  as.data.frame()
grouped <- grouped %>%arrange(desc(gr_sum)) %>% 
  group_by(Year, Platform) %>%
  slice(1:3)

filtered <- grouped %>% select(Year,Platform,gr_sum)
ax <- list(
  title = "Year"
)

ay <- list(
  title = "Sales per Platform (in mio)"

)


filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', stackgroup = 'one',color = ~Platform)%>% 
  layout(title="Sales per Platform from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )

```

Welche Plattform ist die beste und unterscheidet sich diese nach Region?

```{r plot(PlatformRanking_Global), echo = TRUE,message=FALSE,results='markup',}
grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(sum(Global_Sales))  %>%
rename(
    Global_Sales = "sum(Global_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Platform"
)

ay <- list(
  title = "Global Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="Sales Amount by Platform") %>% 
  layout(title="Sales Amount by Platform",
         xaxis = ax,
         yaxis = ay
         )
```
● Gibt es Unterschiede in den Regionen/hängt das mit der Anzahl der Einwohner der
Region zusammen? (Asian>US>EU)

```{r plot(PlatformRanking_EU), echo = TRUE,message=FALSE,results='markup',}
grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(sum(EU_Sales))  %>%
rename(
    Global_Sales = "sum(EU_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Platform"
)

ay <- list(
  title = "EU Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="EU Sales Amount by Platform") %>% 
  layout(title="EU Sales Amount by Platform",
         xaxis = ax,
         yaxis = ay
         )
ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Platform,textinfo='label+percent',
           name="EU Sales Amount by Publisher") %>% 
  layout(title="EU Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
```

```{r plot(PlatformRanking_NA), echo = TRUE,message=FALSE,results='markup',}
grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(sum(NA_Sales))  %>%
rename(
    Global_Sales = "sum(NA_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Platform"
)

ay <- list(
  title = "NA Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="NA Sales Amount by Platform") %>% 
  layout(title="NA Sales Amount by Platform",
         xaxis = ax,
         yaxis = ay
         )
ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Platform,textinfo='label+percent',
           name="NA Sales Amount by Publisher") %>% 
  layout(title="NA Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
```

```{r plot(PlatformRanking_JP), echo = TRUE,message=FALSE,results='markup',}
grouped <- vgsales  %>% 
  group_by(Platform) %>% 
  summarize(sum(JP_Sales))  %>%
rename(
    Global_Sales = "sum(JP_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Platform <- as_factor(ordered$Platform)


ax <- list(
  title = "Platform"
)

ay <- list(
  title = "JP Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Platform,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="JP Sales Amount by Platform") %>% 
  layout(title="JP Sales Amount by Platform",
         xaxis = ax,
         yaxis = ay
         )
ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Platform,textinfo='label+percent',
           name="JP Sales Amount by Publisher") %>% 
  layout(title="JP Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
```
Bestimmte Entwickler/Publisher häufen sich (Nintendo/EA)


Top Publisher nach Anzahl der Games
```{r plot2, echo = TRUE, message=FALSE, results='markup', }
grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n()) %>%  
  filter(Anzahl>100) %>% filter(Publisher!="Unknown")

ordered <- grouped[order(grouped$Anzahl), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "Anzahl"
)
ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Anzahl, .desc="true"),
           y=~Anzahl,
           name="Game Amount by Publisher") %>% 
  layout(title="Game Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         
         )
```
Top Publisher nach Anzahl der Sales

```{r plot(PublisherRanking_Global), echo = TRUE, message=FALSE, results='markup', }
grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n(),sum(Global_Sales)) %>%
  filter(Anzahl>100) %>%
rename(
    Global_Sales = "sum(Global_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "Global Sales (in mio)"

)


ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="Sales Amount by Publisher") %>% 
  layout(title="Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
```

● Welche Spiele/Publisher/Genres in welchen Teilen der welt sich häufen (Nintendo in
Asien, Shooter in US/EU)

```{r plot(PublisherRanking_EU), echo = TRUE, message=FALSE, results='markup', }
grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n(),sum(EU_Sales)) %>%
  filter(Anzahl>100) %>%
rename(
    Global_Sales = "sum(EU_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "EU Sales (in mio)"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="EU Sales Amount by Publisher") %>% 
  layout(title="EU Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Publisher,
           name="EU Sales Amount by Publisher") %>% 
  layout(title="EU Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
```

```{r plot(PublisherRanking_NA), echo = TRUE, message=FALSE, results='markup', }
grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n(),sum(NA_Sales)) %>%
  filter(Anzahl>100) %>%
rename(
    Global_Sales = "sum(NA_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "NA Sales (in mio)"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="NA Sales Amount by Publisher") %>% 
  layout(title="NA Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Publisher,textinfo='label+percent',
           name="NA Sales Amount by Publisher") %>% 
  layout(title="NA Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
```

```{r plot(PublisherRanking_JP), echo = TRUE, message=FALSE, results='markup', }
grouped <- vgsales  %>% 
  group_by(Publisher) %>% 
  summarize(Anzahl =n(),sum(JP_Sales)) %>%
  filter(Anzahl>100) %>%
rename(
    Global_Sales = "sum(JP_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]
ordered$Publisher <-str_remove_all(ordered$Publisher, "Entertainment")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Interactive")
ordered$Publisher <-str_remove_all(ordered$Publisher, "Studios")
ordered$Publisher <- as_factor(ordered$Publisher)


ax <- list(
  title = "Publisher"
)

ay <- list(
  title = "JP Sales (in mio)"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Publisher,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="JP Sales Amount by Publisher") %>% 
  layout(title="JP Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Publisher,
           name="JP Sales Amount by Publisher") %>% 
  layout(title="JP Sales Amount by Publisher",
         xaxis = ax,
         yaxis = ay
         )
```


```{r plot(GenreAmount_GLobal), echo = TRUE, message=FALSE, results='markup', }
grouped <- vgsales  %>% 
  group_by(Genre) %>% 
  summarize(Anzahl =n())

grouped$Anzahl<-as_vector(grouped$Anzahl)
ordered <- grouped[order(grouped$Anzahl), decreasing = FALSE]
ordered$Genre <- as_factor(ordered$Genre)


ax <- list(
  title = "Genre"
)

ay <- list(
  title = "Anzahl"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Genre,Anzahl, .desc="true"),
           y=~Anzahl,
           name="Amount by Genre") %>% 
  layout(title="Amount by Genre",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Anzahl,labels=~Genre,
           name="Amount by Genre") %>% 
  layout(title="Amount by Genre",
         xaxis = ax,
         yaxis = ay
         )
```
```{r plot(SalesByGenre), echo = TRUE, message=FALSE, results='markup', }

grouped <- vgsales  %>% 
  group_by(Genre) %>% 
  summarize(sum(Global_Sales))  %>%
rename(
    Global_Sales = "sum(Global_Sales)"
    )
grouped$Global_Sales<-as_vector(grouped$Global_Sales)
ordered <- grouped[order(grouped$Global_Sales), decreasing = FALSE]

ax <- list(
  title = "Genre"
)

ay <- list(
  title = "Sales"

)

ordered%>%
  plot_ly() %>% 
  add_bars(x=~fct_reorder(Genre,Global_Sales, .desc="true"),
           y=~Global_Sales,
           name="Sales by Genre") %>% 
  layout(title="Sales by Genre",
         xaxis = ax,
         yaxis = ay
         )

ordered%>%
  plot_ly() %>% 
  add_pie(values =~Global_Sales,labels=~Genre,
           name="Sales by Genre") %>% 
  layout(title="Sales by Genre",
         xaxis = ax,
         yaxis = ay
        )
```

● Genrenentwicklung über die Jahre
```{r plot(AmountOfGamesByGenrebyYear), echo = TRUE, message=FALSE, results='markup', }

grouped <- vgsales  %>%                                 
  group_by(Year, Genre) %>%
  dplyr::summarize(Anzahl =n()) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()


filtered <- grouped %>% select(Year,Genre,Anzahl)
ax <- list(
  title = "Year"
)

ay <- list(
  title = "Anzahl"

)

filtered %>%
plot_ly() %>% 
  add_lines(x=~Year,
           y=~Anzahl, color=~Genre)



filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'none', fill = 'tozeroy',color = ~Genre)%>% 
  layout(title="Amount by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )

filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'none', stackgroup = 'one',color = ~Genre)%>% 
  layout(title="Amount by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
ay <- list(
  title = "Percent %"

)

filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'none', stackgroup = 'one',groupnorm = 'percent',color = ~Genre)%>% 
  layout(title="Marketamount genreshift in % from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
```
● Gibt es Statistische zusammenhänge zwischen einzelnen Faktoren e.g. Genre ->
Sales
```{r plot(SalesByGenrebyYear), echo = TRUE, message=FALSE, results='markup', }

grouped <- vgsales  %>%                                 
  group_by(Year, Genre) %>%
  dplyr::summarize(gr_sum = sum(Global_Sales)) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()


filtered <- grouped %>% select(Year,Genre,gr_sum)

ax <- list(
  title = "Year"
)

ay <- list(
  title = "Global_Sales"

)

filtered %>%
plot_ly() %>% 
  add_lines(x=~Year,
           y=~gr_sum, color=~Genre) %>% 
  layout(title="Sales by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )



filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', fill = 'tozeroy',color = ~Genre) %>% 
  layout(title="Sales by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )

filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', stackgroup = 'one',color = ~Genre)%>% 
  layout(title="Sales by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
ay <- list(
  title = "Percent %"

)
filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', stackgroup = 'one',groupnorm = 'percent',color = ~Genre)%>% 
  layout(title="Marketshare genreshift in % from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
```

● Welche Jahre sind die besten in der Anzahl der releasten games
```{r plot(AmountByYear), echo = TRUE, message=FALSE, results='markup', }

grouped <- vgsales  %>%                                 
  group_by(Year) %>%
  dplyr::summarize(Anzahl =n()) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()


filtered <- grouped %>% select(Year,Anzahl)

ax <- list(
  title = "Year"
)

ay <- list(
  title = "Amount"

)

filtered %>%
plot_ly(x = ~Year, y = ~Anzahl, type = 'scatter', mode = 'lines', fill = 'tozeroy') %>% 
  layout(title="Game Amount from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )

```
● Welche Jahre sind die besten in Anzahl Sales pro game (neuer = besser?)

```{r plot(SalesbyGameByYear), include=TRUE, echo = TRUE, message=FALSE, results='markup', }

grouped <- vgsales  %>%                                 
  group_by(Year) %>%
  dplyr::summarize(gr_sum = sum(Global_Sales)/n()) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()


filtered <- grouped %>% select(Year,gr_sum)

ax <- list(
  title = "Year"
)

ay <- list(
  title = "Sales Per Game (in mio)"

)

filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'lines', fill = 'tozeroy') %>% 
  layout(title="Sales per Game from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )

```
```{r plot(SalesPerGamePerGenrebyYear), include=TRUE, echo = FALSE, message=FALSE, results='markup', }

grouped <- vgsales  %>%                                 
  group_by(Year, Genre) %>%
  dplyr::summarize(gr_sum = sum(Global_Sales)/n()) %>% filter(Year!='N/A')%>%filter(Year!=2020) %>% filter(Year!='2017') %>%
  as.data.frame()


filtered <- grouped %>% select(Year,Genre,gr_sum)
view(filtered)
ax <- list(
  title = "Year"
)

ay <- list(
  title = "Sales per Game"

)

filtered %>%
plot_ly() %>% 
  add_lines(x=~Year,
           y=~gr_sum, color=~Genre) %>% 
  layout(title="Sales per Game by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )



filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', fill = 'tozeroy',color = ~Genre) %>% 
  layout(title="Sales per Game by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )

filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', stackgroup = 'one',color = ~Genre)%>% 
  layout(title="Sales per Game by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
ay <- list(
  title = "Percent %"

)
filtered %>%
plot_ly(x = ~Year, y = ~gr_sum, type = 'scatter', mode = 'none', stackgroup = 'one',groupnorm = 'percent',color = ~Genre)%>% 
  layout(title="Marketshare in Sales per Game by Genre from 1980-2016",
         xaxis = ax,
         yaxis = ay
         )
```